Why TAM is a Scam & Harvey's Billion-Dollar GPT Secret #shorts

In this short panel discussion, Jason M. Lemkin and two other speakers dissect the usefulness of Total Addressable Market (TAM) as a metric, argue that technology itself reshapes TAM, and evaluate the legal‑AI startup Harvey. Speaker B praises Harvey’s product‑market fit, noting its rapid 300% YoY growth to $190 M ARR and a valuation around $11 B, while also acknowledging the broader inefficiencies in the legal industry that make a GPT‑driven solution attractive. Speaker C pushes back on the industry‑wide label “GPT wrapper,” contending that the term is unhelpful and should not be used to blanket‑classify deals. Lemkin interjects with a comparison to Databricks’ growth (56‑65% at a $5.5 B valuation) to illustrate how investors lean into high‑growth narratives. The conversation blends admiration for Harvey’s execution with skepticism about over‑reliance on generic market‑size jargon.










